This github repo contains code used for ATOC7500 Objective Data Analysis in Spring 2019.
Jupyter Notebook 100.00%
atoc7500objectivedataanalysis's Introduction
January 29, 2019; last updated February 11, 2019
Jennifer Kay ([email protected])
Readme for github repo https://github.com/jenkayco/ATOC7500ObjectiveDataAnalysis
This github repo contains code used for ATOC7500 Objective Data Analysis in Spring 2019.
Files uploaded include:
test_jupyternotebook.ipynb - test file
ATOC7500_applicationlab1_guidance.docx -lab1 guidance
ATOC7500_applicationlab1_bootstrapping.ipynb - application lab #1 on bootstrapping
snow_enso_data.csv - data needed for ATOC7500_applicationlab1_bootstrapping.ipynb
ATOC7500_applicationlabs1_ztest_ttest.ipynb - application lab #1 on ztest/test
TS_timeseries_cesmle_1850.nc - data needed for ATOC7500_applicationlabs1_ztest_ttest.ipynb
TS_timeseries_cesmle_1920_2100.nc - data needed for ATOC7500_applicationlabs1_ztest_ttest.ipynb
ATOC7500_applicationlab2_guidance.docx - lab2 guidance
ATOC7500_applicationlab2_AR1_Nstar.ipynb - application lab on red noise, autocorrelation, and independent samples
christman_2016.csv - data needed for ATOC7500_applicationlab2_AR1_Nstar.ipynb
ATOC7500_applicationlab2_AR1_regression_AO.ipynb - application lab on red noise and regression using the Arctic Oscillation
monthly.ao.index.b50.current.ascii - data needed for ATOC7500_applicationlab2_AR1_regression_AO.ipynb